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Tree-based learning on amperometric time series data demonstrates high accuracy for classification2024 International Journal of Data Science and Analytics article Computer Science Time Series Analysis and Forecasting Open access
Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Mohaddeseh Amir-Aref, Xiulan He, Soodabeh Majdi, +2 more
2citations -
Machine learning reveals sex differences in distinguishing between conduct-disordered and neurotypical youth based on emotion processing dysfunction2025 BMC Psychiatry article Psychology Psychopathy, Forensic Psychiatry, Sexual Offending Open access
Gregor Kohls, Erik M. Elster, Peter Tiňo, Graeme F. Fairchild, Arne Popma, Christine Margarete Freitag, +3 more
2citations -
Tree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification2023 arXiv (Cornell University) preprint Chemistry Electrochemical Analysis and Applications Open access
Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Xiulan He, Soodabeh Majdi, Andreas Schuppert, +1 more
1citations -
A High Content Imaging and Machine Learning Approach to Identify the Anti-Cancer Effect of Novel Small Molecules on Brain Cancer Patient-Derived Organoids2025 Microscopy and Microanalysis article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Rizwan Ali, Yassinali Tamboli, Saba M. Alsubaie, Sikander Hayat, Mohamed Boudjelal
0citations -
Anywhere Academy — Avatar-Based Collaborative Teaching and Learning in VR2026 Lecture notes in computer science conference-paper Computer Science Virtual Reality Applications and Impacts Open access
Patrick Querl, Raymond Leonardo Chandra, Koen Castermans, Djamel Berkaoui, Heribert Nacken
0citations -
A Machine Learning Algorithm to Identify Patients with Possible Non-Dialysis-Dependent CKD2021 Journal of the American Society of Nephrology article Medicine Chronic Kidney Disease and Diabetes
Thierry Lobbedez, Karim Dardim, Arnaud Panes, Gwendoline Poinsot, Jérôme Fernandes, Laurence Dubel, +1 more
0citations -
Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects2025 Medical Image Analysis review Computer Science Domain Adaptation and Few-Shot Learning Open access
Joohi Chauhan, Afshin Bozorgpour, Boqiang Huang, Reza Azad, Dorit Merhof
26citations -
Putamen volume predicts real-time fMRI neurofeedback learning success across paradigms and neurofeedback target regions2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Neural and Behavioral Psychology Studies Open access
Zhiying Zhao, Shuxia Yao, Jana Zweerings, Xinqi Zhou, Feng Zhou, Huafu Chen, +3 more
6citations -
Deep learning image enhancement algorithms in PET/CT imaging: a phantom and sarcoma patient radiomic evaluation2025 European Journal of Nuclear Medicine and Molecular Imaging article Medicine Radiomics and Machine Learning in Medical Imaging Open access
Lara M. Bonney, Gijsbert M. Kalisvaart, Floris H. P. van Velden, Kevin Martin Bradley, Andrew Bassim Hassan, Willem Grootjans, +1 more
8citations -
Deep learning for automated segmentation of central cartilage tumors on MRI2025 European Radiology Experimental article Computer Science Medical Image Segmentation Techniques Open access
Salvatore Gitto, Anna Corti, Kirsten van Langevelde, Ana Navas Cañete, Antonino Cincotta, Carmelo Messina, +5 more
4citations -
Abstract A051: Multi-omic explainable machine learning improves cancer treatment outcome prediction2025 Clinical Cancer Research conference-abstract Biochemistry, Genetics and Molecular Biology Breast Cancer Treatment Studies
Khoa Anh Tran, Venkateswar Addala, Lambros T. Koufariotis, Jia Zhang, Scott Wood, Conrad Leonard, +10 more
2citations